Artificial Intelligence in Anesthesia: A Comprehensive Analysis

Presenter: Sanea Naressa Eugene

Faculty Sponsor: Jean Kennedy

School: Quinsigamond Community College

Research Area: Artificial Intelligence

Session: Poster Session 1, 10:30 AM - 11:15 AM, Auditorium, A18

ABSTRACT

The discussion of the advancement of technology in the field of medicine has almost been a constant headline during the twenty-first century. The rise of Artificial Intelligence (AI) in recent years has created opportunities for its use in medical spaces while other technologies like Augmented Reality (AR) are used to simulate real-life patient-provider scenarios. The implementation of these technologies has given rise to a myriad of questions often about the implications of these devices. Secondary data analysis was employed in this research to determine the possible outcomes of the applications of AI technologies specifically in the field of anesthesia. The common opinion among medical professionals on the employment of AI in the field seems to be that it will maximize efficient patient care, create more opportunities for personalized care, and possibly increase patient safety through the perioperative process. However, this research seeks to address the issues of designer bias, user bias and issues surrounding patient privacy, HIPAA laws, when AI technology is implemented. It also seeks to address how the role of nurses and doctors in anesthesia change with the increased use of these technologies. This research aimed to find the intersection between these ideas and understand the possible repercussions, as well as the possible benefits not just to one sub-specialty in anesthesia, but to the entire field.